Cardio-Oncology at the Point of Referral: Who Needs Baseline Imaging and Who Does Not

Authors

  • Annelie Wenger-Baumann Department of Cardio-Oncology, Limmat Institute of Cardiovascular Medicine, Zurich, Switzerland Author
  • Ciaran Kinsella-Byrne Department of Medical Oncology, Dodder Institute of Cardiovascular Medicine, Dun Laoghaire, Ireland Author
  • Sylwia Radomska Department of Cardiovascular Imaging, Sudety Heart Centre, Walbrzych, Poland Author

DOI:

https://doi.org/10.5281/zenodo.22344704

Keywords:

Cardio-oncology, HFA-ICOS, Cardiotoxicity, Cancer therapy-related cardiac, Baseline risk assessment

Abstract

Guidelines answer the question of who needs baseline cardiac assessment before potentially cardiotoxic cancer therapy with a
specific tool: the HFA-ICOS risk stratification framework, which sorts patients into low, moderate, high, or very-high risk
categories and recommends escalating baseline echocardiography, biomarker testing, and cardiology referral accordingly.
The 2022 ESC Cardio-Oncology Guidelines endorse this approach with Class I recommendations, and a meta-analysis of
unselected breast cancer patients receiving anthracyclines found that routine baseline assessment has genuinely low yield --
only 2.5% of patients showed an abnormal baseline left ventricular ejection fraction, and only 1.6% had their chemotherapy
decision changed as a result -- supporting the case for a risk-stratified rather than universal approach. But a real-world
validation of the HFA-ICOS tool in 687 HER2-positive breast cancer patients found that the tool the guidelines rely on to
decide who is low risk and who is not barely distinguishes them in practice: composite cardiotoxicity occurred in 38.8% of
patients labelled low risk, 38.5% of those labelled moderate risk, and 41.4% of those labelled high risk -- a nearly flat curve,
with area-under-curve discrimination of only 0.51-0.55 across outcome definitions, barely better than chance. Only the
very-high-risk category, containing just 4 of the 687 patients, showed a clearly different event rate. This review sets out the
guideline framework for baseline risk stratification, the evidence supporting a selective rather than universal approach to
baseline imaging, and the complication those two positions run into when they meet: a risk tool that is genuinely useful for
excusing the truly low-yield majority from unnecessary testing is far less reliable, on current evidence, for confidently telling
any individual low-risk patient that their personal risk of cardiotoxicity is actually lower than a moderate- or high-risk
patient's.

dysfunction

References

Lyon AR, Lopez-Fernandez T, Couch LS, et al. "2022 ESC Guidelines on cardio-oncology". Eur Heart J 43(2022):4229-4361.

Lyon AR, Dent S, Stanway S, et al. "Baseline cardiovascular risk assessment in cancer patients scheduled to receive cardiotoxic cancer therapies: a position statement". Eur J Heart Fail 22(2020):1945-1960.

O'Brien PC, et al. "The clinical utility of baseline cardiac assessments prior to adjuvant anthracycline chemotherapy in breast cancer: a systematic review and meta-analysis". Breast Cancer Res Treat 174(2019):357-363.

Dobson R, Ghosh AK, Ky B, et al. "BSE and BCOS Guideline for Transthoracic Echocardiographic Assessment of Adult Cancer Patients Receiving Anthracyclines and/or Trastuzumab". JACC CardioOncol 3(2021):1-16.

Witteles RM, Reddy SA. "ESC cardio-oncology guidelines: a triumph -- but are we overscreening?". JACC CardioOncol (2022).

Alfehaid L, Alsuhebany N, Alamer K, Alanazi AS, Skouri H. "Clinical utility of the HFA-ICOS risk tool in real-world HER2-positive breast cancer patients receiving therapy". Cardio-Oncology (2026).

Ebrahimi S, Namburu LV, et al. "Time to personalize surveillance for cancer therapy-related cardiac dysfunction in HER2-targeted therapy: one size does not fit all". Curr Heart Fail Rep 23(2026):37.

Downloads

Published

2022-08-17

How to Cite

Cardio-Oncology at the Point of Referral: Who Needs Baseline Imaging and Who Does Not. (2022). Journal of Heart and Cardiovascular Science, 3(1), 22-26. https://doi.org/10.5281/zenodo.22344704